Learning Graph Enhanced Spatial-Temporal Coherence for Video Anomaly Detection
Author:
Affiliation:
1. Academy for Engineering and Technology, Fudan University, Shanghai, China
Funder
Science and Technology Commission of Shanghai Municipality Research Fund
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/97/10036333/10078904.pdf?arnumber=10078904
Reference28 articles.
1. Appearance-Motion Memory Consistency Network for Video Anomaly Detection
2. Video anomaly detection with spatio-temporal dissociation
3. Efficient Universal Shuffle Attack for Visual Object Tracking
4. Disentangled Representation Learning for Multimodal Emotion Recognition
5. Future Frame Prediction for Anomaly Detection - A New Baseline
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